Correction

Correction: What Is A/B Testing: Statistical Significance and Common Mistakes

Corrected by Emir Baycan · Full-Stack Developer, Mobile App Builder and Web Platform Founder with expertise in SEO, automation, SaaS, AI visibility, DevOps and scalable digital products

Emir Baycan found something wrong, outdated, or unsupported on this page and proposed a fix. The publisher accepted the correction.

Role
Correction
Status
Accepted
Date
12 July 2026

Changes accepted

1 edited

Computed from the content the publisher accepted, line by line. Neither the contributor nor CitePep writes this diff by hand.

edit
quantified this rigorously in a 2017 paper on "always valid inference" developed while working at Airbnb
+quantified this rigorously in a 2017 paper on "always valid inference" developed while working at Optimizely

Why this is better

Verified fix already fully applied in article body and references list. Other 'Airbnb' mentions in the article are legitimate, unrelated references to Airbnb's own marketplace experimentation research. No secondary leftovers found in FAQ.

How this record is verified

  • The contribution is tied to a real, identified contributor, not an anonymous byline.
  • It counts only because the publisher, When Notes Fly, accepted it. Self-claimed work earns nothing.
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